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  • 4. Publication-based code examples »
  • 4.2. FMRI examples (detailed)

4.2. FMRI examples (detailed)¶

4.2.1. Publications with example scripts¶

  • Chen et al. (2016). Untangling the Relatedness among Correlations, Part II: Inter-Subject Correlation Group Analysis through Linear Mixed-Effects Modeling
  • Taylor et al. (2018). FMRI processing with AFNI: Some comments and corrections on “Exploring the Impact of Analysis Software on Task fMRI Results
  • Chen et al. (2018). A tail of two sides: Artificially doubled false positive rates in neuroimaging due to the sidedness choice with t-tests
  • Chen, et al. (2018b). Handling Multiplicity in Neuroimaging through Bayesian Lenses with Hierarchical Modeling

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Table of Contents

  • 1. Installation and Background
  • 2. Educational resources
  • 3. All program helps
  • 4. Publication-based code examples
    • 4.1. FMRI examples (brief)
    • 4.2. FMRI examples (detailed)
      • 4.2.1. Publications with example scripts
        • Chen et al. (2016). Untangling the Relatedness among Correlations, Part II: Inter-Subject Correlation Group Analysis through Linear Mixed-Effects Modeling
        • Taylor et al. (2018). FMRI processing with AFNI: Some comments and corrections on “Exploring the Impact of Analysis Software on Task fMRI Results
        • Chen et al. (2018). A tail of two sides: Artificially doubled false positive rates in neuroimaging due to the sidedness choice with t-tests
        • Chen, et al. (2018b). Handling Multiplicity in Neuroimaging through Bayesian Lenses with Hierarchical Modeling
    • 4.3. AFNI demos: FMRI analysis
  • 5. SUMA
  • 6. FATCAT
  • 7. Statistics
  • 8. Templates & Atlases
  • 9. Non-human processing
  • 10. Tutorials, Examples
  • 11. Demo Material
  • 12. Developer Documentation
  • 13. References, papers and citations
  • 14. Contributors
  • 15. Glossary
  • 16. Main AFNI pages

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